transforming ambitions gcc

How AI-enabled xMOs are shaping the future of GCC economies

GCC economies harness AI and tech to bridge strategy and execution, driving xMO evolution and lasting value.


In brief

  • The GCC countries are transforming their economies with a focus on digital and AI integration.
  • To overcome challenges like fragmented data and manual coordination, xMOs must evolve into AI-enabled orchestration hubs.
  • By leveraging advanced technologies and data-driven planning, xMOs can deliver measurable impact and accelerate national transformation.

The Gulf Cooperation Council (GCC) countries are embarking on a transformative journey, driven by ambitious visions for economic diversification, digital transformation and the adoption of artificial intelligence (AI). At the heart of these transformations are execution enabler offices, including Strategy Management Offices (SMOs), Transformation Management Offices (TMOs) and Project Management Offices (PMOs), collectively known as xMOs.

Many xMOs still contend with manual coordination, fragmented data and tools and evolving decision-making frameworks. These challenges slow transformation momentum. To meet the pace of reform, they must evolve into AI-enabled orchestration hubs. These hubs should be capable of real-time insight, agile decision-making and seamless execution.

Drawing on global EY insights and leveraging AI-native platforms such as ServiceNow’s Strategic Portfolio Management (SPM) suite, GCC governments can bypass legacy constraints. They can build next-generation planning and delivery engines.

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Chapter 1

A vision for accelerated transformation

The GCC national visions drive economic and digital transformations, requiring xMOs to evolve from passive trackers to real-time navigators of complex reforms.

The GCC national visions are spearheading transformations across economies, societies and governance for a digital future. These ambitious agendas require unprecedented coordination and focus on economic diversification, digital government, sustainability, healthcare, education and AI leadership. The rapid pace of these changes has introduced significant complexity, with governments managing numerous interdependent initiatives and reforms.

Despite the momentum, many xMOs are still evolving their practices to fully harness the pace of transformation. They are facing several challenges including:

  • Manual reporting and inconsistent governance
  • Misalignment between strategy and execution
  • Low data maturity and limited integration

Significant opportunities exist to better leverage institutional capabilities and strengthen skills across strategy, delivery, data and digital transformation. To meet national ambitions, these offices must reimagine their role not as passive trackers of performance, but as real-time navigators of the full transformation lifecycle.

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Chapter 2

Challenges xMOs must overcome

Through collaborations with government and private sector organizations across the GCC, EY MENA has identified five critical challenges that consistently hinder xMO power and impact.

Through collaborations with government and private sector organizations across the GCC, EY MENA has identified five critical challenges that consistently hinder xMO power and impact:

 

1. Strategy–execution disconnect

Bridging the gap between strategy and execution requires both timely, data-driven decisions and strong leadership reinforcement. Fragmented oversight and limited visibility often hinder translating plans into measurable outcomes.

 

2. Overwhelmed resources

Resource constraints often stretch xMO teams, leading to burnout and reactive firefighting. Without automation and predictive insight, leaders struggle to balance demand with capacity.

 

3. Resistance to change

Transformation stalls when benefits are not clearly visible to stakeholders. Skill shortages and limited governance frameworks reinforce resistance, making it hard to translate strategies into measurable impact.

 

4. Capability gaps

xMOs need strong internal capabilities in digital delivery, data management, and emerging technologies. Continued investment in upskilling is crucial for building confidence in new systems and embedding long-term adoption.

 

5. Data quality and availability

Strong data foundations are critical for transformation. Inadequate data infrastructure and lack of a clear data strategy undermine trust in digital systems and slow AI adoption.

According to the EY global survey
leaders cite inadequate data infrastructure.1

Addressing these challenges require more than incremental process improvements. xMOs need platforms that unify strategy, data and execution in real time. By integrating AI, automation and data-driven planning, the SPM suite provides a single system of intelligence and action that enables xMOs to deliver with speed and confidence.

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Chapter 3

Transforming xMOs with AI

AI transforms xMOs from traditional reporting functions to proactive orchestration hubs, providing real-time visibility, predictive insights, and automated recommendations for strategic alignment.

AI's key layers such as machine learning, generative and agentic offer immense potential for leaders and organizations. In the xMO world, AI integrates data from portfolios, programs and projects to provide real-time visibility, predictive insights and automated recommendations. This transforms xMOs from traditional reporting functions to proactive orchestration hubs, aligning strategy and execution swiftly.

EY research shows that
of global governments agree they must accelerate AI adoption.2

When applied to strategic portfolio management, AI transforms xMO operations across five dimensions:

  1. Real-time decision support
  2. Scenario-based planning
  3. Risk prediction and mitigation
  4. Resource optimization and alignment
  5. Data integrity and reporting automation
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Chapter 4

From strategy to sustainable execution: enabling lasting transformation

xMOs are evolving into strategic control hubs by leveraging AI, automation, and data-driven planning — enabling organizations to deliver measurable impact and navigate complex transformations with greater agility.

The GCC countries are moving beyond traditional reporting to become strategic control hubs. By integrating advanced technologies, xMOs can unify intelligence and action across government ecosystems. This holistic approach connects IT, HR, risk and citizen services, enabling agile execution and measurable impact.

 

Key elements for the successful transformation of xMOs into strategic control hubs include:

  1. Turning vision into action:
    Leaders must define clear strategies aligned with national priorities and prioritize high-impact use cases to maximize value.

  2. Building sustainable capabilities:
    Ongoing upskilling in digital, AI and governance empowers internal teams to drive transformation from within.

  3. Embedding lasting change:
    Human-centric processes and strong stakeholder engagement are essential for sustained adoption and impact.

  4. Unlocking trusted data:
    Robust data architectures and real-time dashboards enable confident decision-making and accelerate AI readiness.

  5. Tracking value delivery:
    Clear KPIs and value frameworks help measure progress, align initiatives and demonstrate return on investment (ROI).


Shaping the future of strategy execution


The xMOs of the GCC are at a turning point. They can continue to operate as administrative reporting centers or emerge as strategic control towers for national reform.

 

By combining advanced platforms with AI-driven insights and human-centered consulting, governments can finally bridge the gap between ambition and delivery.

 

When transformation offices transform, the entire ecosystem benefits — accelerating national reform, strengthening public trust and creating lasting value for citizens.

Summary 

The GCC countries are transforming their economies with a focus on digital and AI integration. xMOs must evolve into AI-enabled orchestration hubs to overcome challenges like fragmented data and manual coordination. By creating actionable roadmaps, building capabilities, securing stakeholder buy-in, developing robust data architectures, and establishing KPIs to track value delivery, organizations can accelerate this transformation. Leveraging AI-native platforms such as the SPM suite, this transformation will enhance operational effectiveness and create lasting value for citizens.


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